{"id":"W2297607658","doi":"","title":"Drought Preparedness and Response as if Development Matters: Case Studies from Kenya","year":2011,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Vulnerability (computing); Disaster risk reduction; Emergency management; Preparedness; Community resilience; Environmental planning; Government (linguistics); Psychological intervention; Resilience (materials science); Environmental resource management; Vulnerability assessment; Economic growth; Political science; Geography; Resource (disambiguation); Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003086515,0.0005242957,0.0004829222,0.001033866,0.01100385,0.001920342,0.001007275,0.002246902,0.004031267],"category_scores_gemma":[0.005442426,0.00042934,0.0002708647,0.002128804,0.002836662,0.001971926,0.002044107,0.001301715,0.0003273193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005214839,"about_ca_system_score_gemma":0.003487782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04022894,"about_ca_topic_score_gemma":0.1775964,"domain_scores_codex":[0.9979964,0.001351654,0.00008695087,0.00007587881,0.0001364521,0.0003526255],"domain_scores_gemma":[0.9973248,0.001726037,0.0003683939,0.00007078663,0.0002007166,0.0003092449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004965292,0.002956308,0.05888276,0.002692134,0.00009030902,0.07015515,0.7996559,0.001558603,0.003935775,0.01115973,0.004399254,0.04401761],"study_design_scores_gemma":[0.0001038843,0.000871957,0.04179515,0.001103169,0.00006557826,0.005523682,0.9216482,0.0003864764,0.00107982,0.0009020389,0.02645452,0.00006550826],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898118,0.0009417493,0.000297768,0.000889608,0.00001100963,0.000371824,0.00008273799,0.00000241914,0.007591028],"genre_scores_gemma":[0.9935454,0.0028001,0.0009599192,0.0002401818,0.00001016239,0.0002692219,0.00005113996,0.000005932387,0.002117883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04022894,"threshold_uncertainty_score":0.07998955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05849537456147766,"score_gpt":0.3160866471470439,"score_spread":0.2575912725855662,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}